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Hi NumPy Devs,
I have mostly finished writing a tutorial called "Plotting Fractals", which teaches the basics of what fractals are and how to begin creating fractal images. I know that there are many fractal tutorials out there, so I tried making mine slightly different and appropriate for NumPy in the following ways:
- I tried explaining what fractals are through demonstration, which I think flows nicely with the tutorial style of writing.
- I used Universal Functions and Boolean Indexing in the tutorial and touched on how they helped speed up the computations.
- I included a large number of different fractals, including generalizations of the Mandelbrot set, Newton fractals and some "new" ones I made up.
- I provide guidance on "finding new fractals" through experimenting with different combinations of Universal Functions and by playing with the parameters.
If this is a topic of interest, I would be happy to submit a pull request of my work once I finish (which will likely be over the next couple days).
Thanks for your time
Michael
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